Awesome OIKAN Projects

September 25, 2025 ยท View on GitHub

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Awesome OIKAN Projects

A curated list of awesome projects built with OIKAN, a powerful framework for interpretable machine learning.

The best projects from this repository will be featured in the OIKAN's Featured Projects Website.

๐Ÿ”— OIKAN repository: silvermete0r/oikan

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Contributing

We welcome contributions to this list! If you have an awesome OIKAN project to share, please follow these steps:

  1. Fork the repository: Click the "Fork" button at the top right of this page.
  2. Clone your fork: Use git clone https://github.com/silvermete0r/awesome-oikan.git to clone your fork locally.
  3. Add your project: Open the README.md file and add your project to the appropriate section.
  4. Submit a pull request: Once you've made your changes, submit a pull request to the main repository.
  5. Follow the guidelines: Please ensure your project follows the contribution guidelines.

Projects

Classification

Project NameDescriptionLinkAuthor
Classification Tutorial using Iris DatasetA tutorial on classification using the Iris dataset with OIKAN.GitHub Jupyter Notebook@silvermete0r
Drug Classification (AC: 0.97)A classification model for drug classification using OIKAN.Kaggle Notebook@silvermete0r
OIKAN ~ Interpretable ML for CMI 2025 - TrainingPredicting Body Focused Repetitive Behaviors from a Wrist-Worn Device using OIKAN (Competition: CMI - Detect Behavior with Sensor Data)Kaggle Notebook Training & Kaggle Notebook Submission@silvermete0r
S5E6 - OIKAN Predicting Optimal FertilizersKaggle Playground Season 5, Episode 6: Select the best fertilizer for different weather, soil conditions and crops. Kaggle Competition: Predicting Optimal FertilizersKaggle Notebook@silvermete0r
OIKAN ~ ML for Credit Score ClassificationA credit score classification model using OIKAN.Kaggle Notebook@silvermete0r

Regression

Project NameDescriptionLinkAuthor
Regression Tutorial using California Housing DatasetA tutorial on regression using the California Housing dataset with OIKAN.GitHub Jupyter Notebook@silvermete0r

Acknowledgements

We would like to thank all contributors and the OIKAN community for their support and contributions!